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Search for new physics using unsupervised machine learning for anomaly detection with ATLAS

Searches for new resonances in two-body invariant mass distributions are performed using an unsupervised anomaly detection technique in events produced in pp collisions at a center-of-mass energy of 13 TeV recorded by the ATLAS detector at the LHC. Studies are conducted in data containing at least o...

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Detalles Bibliográficos
Autor principal: Zhang, Rui
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2861647